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UAS-Based Plant Phenotyping for Research and Breeding Applications.
Guo W, Carroll ME, Singh A, Swetnam TL, Merchant N, Sarkar S, Singh AK, Ganapathysubramanian B. Guo W, et al. Among authors: sarkar s. Plant Phenomics. 2021 Jun 10;2021:9840192. doi: 10.34133/2021/9840192. eCollection 2021. Plant Phenomics. 2021. PMID: 34195621 Free PMC article. Review.
Machine Learning for High-Throughput Stress Phenotyping in Plants.
Singh A, Ganapathysubramanian B, Singh AK, Sarkar S. Singh A, et al. Among authors: sarkar s. Trends Plant Sci. 2016 Feb;21(2):110-124. doi: 10.1016/j.tplants.2015.10.015. Epub 2015 Dec 1. Trends Plant Sci. 2016. PMID: 26651918 Free article. Review.
Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity.
Jubery TZ, Shook J, Parmley K, Zhang J, Naik HS, Higgins R, Sarkar S, Singh A, Singh AK, Ganapathysubramanian B. Jubery TZ, et al. Among authors: sarkar s. Front Plant Sci. 2017 Jan 19;7:2066. doi: 10.3389/fpls.2016.02066. eCollection 2016. Front Plant Sci. 2017. PMID: 28154570 Free PMC article.
A deep learning framework for causal shape transformation.
Lore KG, Stoecklein D, Davies M, Ganapathysubramanian B, Sarkar S. Lore KG, et al. Among authors: sarkar s. Neural Netw. 2018 Feb;98:305-317. doi: 10.1016/j.neunet.2017.12.003. Epub 2017 Dec 18. Neural Netw. 2018. PMID: 29301111
An explainable deep machine vision framework for plant stress phenotyping.
Ghosal S, Blystone D, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S. Ghosal S, et al. Among authors: sarkar s. Proc Natl Acad Sci U S A. 2018 May 1;115(18):4613-4618. doi: 10.1073/pnas.1716999115. Epub 2018 Apr 16. Proc Natl Acad Sci U S A. 2018. PMID: 29666265 Free PMC article.
6,343 results